Identyfikatory
Warianty tytułu
Ilościowe algorytmy mrówkowe stosowane do diagnostyki systemów elektronicznych
Języki publikacji
Abstrakty
Main problems of using ant algorithms in diagnosis are presented in this article. A knowledge representation and a searching solution mechanism with help of ant algorithms were elaborated. The usefulness of an ant-quantitative algorithm in faults localizations is presented on TV set.
Rocznik
Tom
Strony
47--64
Opis fizyczny
Bibliogr. 7 poz., rys., tab.
Twórcy
autor
- Faculty of Electronics and Informatics Koszalin University of Technology 75 – 453 Koszalin, ul. Śniadeckich 2, POLAND
autor
- Faculty of Electronics and Informatics Koszalin University of Technology 75 – 453 Koszalin, ul. Śniadeckich 2, POLAND
Bibliografia
- [1] A. Colorni, M. Dorigo, V. Maniezzo.: “An investigation of some properties of an “Ant Algorithm”, Proc. of the Parallel Problem Solving from Nature Conference, Belgium 1992, pp. 509-520.
- [2] M.Dorigo, M. Birattari.: ”Ant Colony Optimization – Artificial Ants as a Computational Intelligence Technique”. IEEE, Computational Intelligence Magazine, 2006.
- [3] C. Blum.: ”Ant Colony Optimization: Introduction and recent trends”, Physics of Life Reviews, 2(4):353 -374, 2005.
- [4] D.Merkle, M. Middendorf.: “Modelling the Dynamics of Ant Colony Optimization Algorithms”, Evolutionary Computation, 10(3) pp.235 – 262, 2002.
- [5] J.Drabarek, R. Wirski.: "A Representation Language for A Neural Expert System Applied to Diagnostics", International Conference on Signals and Electronic Systems, October2000, Ustroń, Poland.
- [6] J. Drabarek, R. Wirski.: „A Neural Expert System Concept Applied to Diagnostics”, 8th IEEE ICECS, September, Malta 2001.
- [7] J. Drabarek, R. Wirski, W. Madej.: „Genetic Algorithms Applied to Hybrid Expert Systems”, 9th IEEE ICECS, September Dubrovnik, Croatia 2002. Ilościowe algorytmy mrówkowe stosowane do diagnostyki systemów elektronicznych
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-71796138-f58b-4494-86d8-da78a3f24133